Multivariate Methods for Coastal and Offshore Risks

Multivariate Methods for Coastal and Offshore Risks

Jaeger, W.S. (TU Delft Coastal Engineering)

Stive, M.J.F. (promotor)
Hanea, Anca (promotor)
Morales Napoles, O. (copromotor)

Delft University of Technology

2018-06-11

This thesis investigates how selected multivariate probabilistic methods can be adapted for risk analysis and decision making in coastal and offshore environments. In particular, the thesis makes a contribution to decision support tools for risk reduction efforts in coastal environments and to statistical simulation methods for wave conditions. Generally, very few observations on negative impacts in coastal or offshore environments are available for risk analysis or decision making due to the rare nature of extreme events. However, synthetic impact data can be generated by propagating relevant hydro meteorological conditions to the environment of interest through a chain of multiple models. Especially in coastal environments, this chain often includes computationally intensive models.

Probabilistic simulation
hazard analysis
source-pathway-receptor concept
Bayesian network
vine-copula
time series modeling

https://doi.org/10.4233/uuid:4be7ac1d-8232-457c-8ad6-73ec23baf9ce

978-94-6375-009-7

Institutional Repository

doctoral thesis

© 2018 W.S. Jaeger